Numerical Methods for Image Registration (Numerical Mathematics and Scientific Computation)

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9780198528418: Numerical Methods for Image Registration (Numerical Mathematics and Scientific Computation)

Based on the author's lecture notes and research, this well-illustrated and comprehensive text is one of the first to provide an introduction to image registration with particular emphasis on numerical methods in medical imaging. Ideal for researchers in industry and academia, it is also a suitable study guide for graduate mathematicians, computer scientists, engineers, medical physicists and radiologists. Image registration is utilized whenever information obtained from different viewpoints needs to be combined or compared and unwanted distortion needs to be eliminated. For example, CCTV images, ultrasound images, brain scan images, fingerprint and retinal scanning. Modersitzki's book provides a systematic introduction to the theoretical, practical, and numerical aspects of image registration, with special emphasis on medical applications. Various techniques are described, discussed and compared using numerous illustrations. The text starts with an introduction to the mathematical principles and the motivating example of the Human Neuroscanning Project whose aim is to build an atlas of the human brain through reconstructing essential information out of deformed images of sections of a prepared brain. The introduction is followed by coverage of parametric image registrations such as landmark based, principal axes based and optimal affine linear registration. Basic distance measures like sum of squared differences, correlation and mutual information are also discussed. The next section is devoted to state-of-the-art non-parametric image registrations where general variation based framework for image registration is presented and used to describe and compare well-known and new image registration techniques. Finally, efficient numerical schemes for the underlying partial differential equations are presented and discussed. This text treats the basic mathematical principles, including aspects from approximation theory, image processing, numrics, partial differential equations, and statistics, with a strong focus on numerical methods in image processing. Providing a systematic and general framework for image registration, the book not only presents state-of-the-art concepts but also summarizes and classifies the numerous techniques to be found in the literature.

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About the Author:

Jan Modersitzki is at Institute of Mathematics, University of Lubeck.

Review:

`In Numerical Methods for Image Registration, author Jan Modersitzki presents a well-focused text on the solutions to a particular problem in the field of computer vision and image processing--image registration. I certainly recommend the book for researchers as well as mathematically inclined practitioners in the field of image processing and computer vision. ' Gurusham Sudhir in The Industrial Physicist

`This book is definitely award-worthy in its timeliness, clarity, completeness, and impotrance. This reviewer personally votes for this work as the best in 2004 in the area of imaging sciences.' Jianhong Shen in Mathematical Reviews 2005h

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Jan Modersitzki
Editore: Oxford University Press, United Kingdom (2004)
ISBN 10: 0198528418 ISBN 13: 9780198528418
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Descrizione libro Oxford University Press, United Kingdom, 2004. Hardback. Condizione libro: New. Language: English . Brand New Book. Based on the author s lecture notes and research, this well-illustrated and comprehensive text is one of the first to provide an introduction to image registration with particular emphasis on numerical methods in medical imaging. Ideal for researchers in industry and academia, it is also a suitable study guide for graduate mathematicians, computer scientists, engineers, medical physicists, and radiologists. Image registration is utilised whenever information obtained from different viewpoints needs to be combined or compared and unwanted distortion needs to be eliminated. For example, CCTV images, ultrasound images, brain scan images, fingerprint and retinal scanning. Modersitzki s book provides a systematic introduction to the theoretical, practical, and numerical aspects of image registration, with special emphasis on medical applications. Various techniques are described, discussed and compared using numerous illustrations. The text starts with an introduction to the mathematical principles and the motivating example of the Human Neuroscanning Project whose aim is to build an atlas of the human brain through reconstructing essential information out of deformed images of sections of a prepared brain. The introduction is followed by coverage of parametric image registrations such as landmark based, principal axes based, and optimal affine linear registration. Basic distance measures like sum of squared differences, correlation, and mutual information are also discussed. The next section is devoted to state-of-the-art non-parametric image registrations where general variational based framework for image registration is presented and used to describe and compare well-known and new image registration techniques. Finally, efficient numerical schemes for the underlying partial differential equations are presented and discussed. This text treats the basic mathematical principles, including aspects from approximation theory, image processing, numerics, partial differential equations, and statistics, with a strong focus on numerical methods in image processing. Providing a systematic and general framework for image registration, the book not only presents state-of-the-art concepts but also summarises and classifies the numerous techniques to be found in the literature. Codice libro della libreria LIB9780198528418

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Descrizione libro Clarendon Press. Condizione libro: New. pp. 216 This item is printed on Demand. Codice libro della libreria 7346467

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Descrizione libro Oxford University Press, United Kingdom, 2004. Hardback. Condizione libro: New. Language: English . Brand New Book. Based on the author s lecture notes and research, this well-illustrated and comprehensive text is one of the first to provide an introduction to image registration with particular emphasis on numerical methods in medical imaging. Ideal for researchers in industry and academia, it is also a suitable study guide for graduate mathematicians, computer scientists, engineers, medical physicists, and radiologists. Image registration is utilised whenever information obtained from different viewpoints needs to be combined or compared and unwanted distortion needs to be eliminated. For example, CCTV images, ultrasound images, brain scan images, fingerprint and retinal scanning. Modersitzki s book provides a systematic introduction to the theoretical, practical, and numerical aspects of image registration, with special emphasis on medical applications. Various techniques are described, discussed and compared using numerous illustrations. The text starts with an introduction to the mathematical principles and the motivating example of the Human Neuroscanning Project whose aim is to build an atlas of the human brain through reconstructing essential information out of deformed images of sections of a prepared brain. The introduction is followed by coverage of parametric image registrations such as landmark based, principal axes based, and optimal affine linear registration. Basic distance measures like sum of squared differences, correlation, and mutual information are also discussed. The next section is devoted to state-of-the-art non-parametric image registrations where general variational based framework for image registration is presented and used to describe and compare well-known and new image registration techniques. Finally, efficient numerical schemes for the underlying partial differential equations are presented and discussed. This text treats the basic mathematical principles, including aspects from approximation theory, image processing, numerics, partial differential equations, and statistics, with a strong focus on numerical methods in image processing. Providing a systematic and general framework for image registration, the book not only presents state-of-the-art concepts but also summarises and classifies the numerous techniques to be found in the literature. Codice libro della libreria LIB9780198528418

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Descrizione libro Oxford University Press Jan 2004, 2004. Buch. Condizione libro: Neu. Neuware - This well-illustrated and comprehensive text provides an introduction to the theoretical, practical, and numerical aspects of image registration, with special emphasis on medical imaging. Various techniques are described, discussed and compared using numerous illustrations. It discusses the basic mathematical principles, including aspects from `pproximation theory, image processing, numerics, partial differential equations, and statistics, with a strong focus on 210 pp. Englisch. Codice libro della libreria 9780198528418

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Descrizione libro Oxford University Press, 2017. Hardcover. Condizione libro: New. Never used! This item is printed on demand. Codice libro della libreria P110198528418

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Descrizione libro OUP Oxford, 2016. Paperback. Condizione libro: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Codice libro della libreria ria9780198528418_lsuk

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